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. Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making. Demonstrated experience designing and implementing ETL/ELT
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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nine colleges and schools. Connections working at Northeastern University More Jobs from This Employer https://main.hercjobs.org/jobs/22131366/snowflake-developer Return to Search Results
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to support the identification, activation, adoption, and ongoing use of AI-enabled and enterprise digital tools across the university. This role blends business analysis, digital solutions engineering
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to advanced molecular biosciences. In Stockholm, SciLifeLab is located on Campus Solna, where research groups from Stockholm University, the Royal Institute of Technology, and the Karolinska Institute conduct
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9 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux Research Field Engineering Physics » Acoustics Engineering
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companies' transitions towards a sustainable society. In research and education, we work in a broad spectrum. From basic mechanical engineering via modelling and simulation towards innovative product-service
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, gene editing, medicinal chemistry, and DNA-encoded library (DEL) technology, among others. For detailed information, please visit us at https://siais.shanghaitech.edu.cn/ . Join Our Institute: Faculty
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
remote work location, consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven
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of large, cross-departmental initiatives. The analyst deploys data extraction, transformation, and loading (ETL) processes; classical statistical analysis; predictive and prescriptive modeling; optimization